AI Agents for Your Team
Every Person Gets an Agent. The Agents Talk to Each Other.
Your agents coordinate with each other so your humans don't have to.
// SERVICE_INFO
DEPLOYMENT
One department, 4 weeks
WHAT CHANGES
Agents do the coordination. Humans do the decisions.
// THE IDEA
Pick a department. In four weeks, every person has an AI agent built on OpenClaw — the open-source agent framework with 430,000 GitHub stars. The agents draft, triage, research, and follow up. The humans review and decide. But here's the big thing: the agents talk to each other. Your agent contacts theirs. No diary tennis. No "just following up." The coordination cost that dominates most organisations collapses.
// WHAT THIS LOOKS LIKE
Sales Team
Agents enrich leads, draft personalised outreach, coordinate handoffs between SDRs and account executives, and follow up on schedule. Real results: 3-5 qualified meetings per week for ~$40/month in API costs.
Operations Team
Agents handle client onboarding end-to-end — folder creation, welcome emails, CRM updates, calendar invites, access provisioning. 3-4 hours of admin compressed to 15 minutes, per client.
Research Team
Agents monitor publications, surface relevant papers, compile briefings, and connect researchers with shared interests. We've already built this for the National Cancer Institute — it works.
Legal / Compliance Team
Agents monitor regulatory changes, flag relevant updates, draft initial assessments, and route to the right specialist. The repetitive scanning work disappears.
Any Team
Email triage, meeting preparation, document drafting, competitive monitoring, internal knowledge lookup. Start with whatever creates the most value and expand from there.
// SECURITY
OpenClaw's early security record scared a lot of people — and it should have. We take this seriously. Every deployment runs in isolated containers. Agents only access what they're explicitly permitted to. Self-extending is disabled by default. Skills are audited before installation. We work directly with your security and IT teams to address every concern before anything goes live. The wild stories you've heard all involved agents running with unrestricted permissions — that's a configuration choice we don't make.
// WHY AGENT-TO-AGENT MATTERS
Everyone is building individual agents. We're building agents that work together. An individual agent is a productivity tool. A network of agents that coordinate is an organisational capability. The humans still make the decisions — they just stop spending half their day making sure information gets to the right place.
// HOW IT WORKS
Assess
Pick the department. Map roles, workflows, and coordination bottlenecks. Evaluate which claw variant fits your constraints — NanoClaw for isolation, Moltis for self-hosting, ZeroClaw for efficiency. Work with your security and IT teams on container isolation, permissions, skill auditing, and network policies. Every concern addressed before a single agent goes live.
Build
Configure each agent: role definition, tool access, memory, permissions, escalation rules. Agent-to-agent communication layer. Connect to your existing tools — email, CRM, Slack, calendars.
Launch
Deploy to the team. Agents start read-only: observing, drafting, summarising. Humans review everything. Permissions expand as trust builds.
Compound
The agents learn. Memory accumulates. Coordination patterns optimise. Scale to more departments when ready.
// THE OUTCOME
Not a chatbot bolted onto Slack. A managed, governed deployment where every agent action has an audit trail — and the whole system gets smarter every week it runs.
Ready to Build?
We help enterprises pick the few AI bets that matter and get them into production.